Abstract

Cumulative data link cytokine storms with coronavirus disease 2019 (COVID-19) severity. The precise identification of immune cell subsets in bronchoalveolar lavage (BAL) and their correlation with COVID-19 disease severity are currently being unraveled. Herein, we employed iterative clustering and guide-gene selection 2 (ICGS2) as well as uniform manifold approximation and projection (UMAP) dimensionality reduction computational algorithms to decipher the complex immune and cellular composition of BAL, using publicly available datasets from a total of 68,873 single cells derived from two healthy subjects, three patients with mild COVID-19, and five patients with severe COVID-19. Our analysis revealed the presence of neutrophils and macrophage cluster-1 as a hallmark of severe COVID-19. Among the identified gene signatures, IFITM2, IFITM1, H3F3B, SAT1, and S100A8 gene signatures were highly associated with neutrophils, while CCL8, CCL3, CCL2, KLF6, and SPP1 were associated with macrophage cluster-1 in severe-COVID-19 patients. Interestingly, although macrophages were also present in healthy subjects and patients with mild COVID-19, they had different gene signatures, indicative of interstitial and cluster-0 macrophage (i.e., FABP4, APOC1, APOE, C1QB, and NURP1). Additionally, MALAT1, NEAT1, and SNGH25 were downregulated in patients with mild and severe COVID-19. Interferon signaling, FCγ receptor-mediated phagocytosis, IL17, and Tec kinase canonical pathways were enriched in patients with severe COVID-19, while PD-1 and PDL-1 pathways were suppressed. A number of upstream regulators (IFNG, PRL, TLR7, PRL, TGM2, TLR9, IL1B, TNF, NFkB, IL1A, STAT3, CCL5, and others) were also enriched in BAL cells from severe COVID-19-affected patients compared to those from patients with mild COVID-19. Further analyses revealed genes associated with the inflammatory response and chemotaxis of myeloid cells, phagocytes, and granulocytes, among the top activated functional categories in BAL from severe COVID-19-affected patients. Transcriptome data from another cohort of COVID-19-derived peripheral blood mononuclear cells (PBMCs) revealed the presence of several genes common to those found in BAL from patients with severe and mild COVID-19 (IFI27, IFITM3, IFI6, IFIT3, MX1, IFIT1, OASL, IFI30, OAS1) or to those seen only in BAL from severe-COVID-19 patients (S100A8, IFI44, IFI44L, CXCL8, CCR1, PLSCR1, EPSTI1, FPR1, OAS2, OAS3, IL1RN, TYMP, BCL2A1). Taken together, our data reveal the presence of neutrophils and macrophage cluster-1 as the main immune cell subsets associated with severe COVID-19 and identify their inflammatory and chemotactic gene signatures, also partially reflected systemically in the circulation, for possible diagnostic and therapeutic interventions.

Highlights

  • As part of the continuing efforts to further understand the mechanisms underlying viral infection and disease severity, unraveling the role of the immune system is imperative to develop possible therapeutic interventions

  • iterative clustering and guide-gene selection 2 (ICGS2) algorithm was employed to decipher the cellular composition of bronchoalveolar lavage (BAL) from two healthy, three mild, and five severe COVID-19 patients

  • ICGS2 analysis of patients with mild COVID-19 revealed distinct cell composition compared to the healthy control

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Summary

Introduction

As part of the continuing efforts to further understand the mechanisms underlying viral infection and disease severity, unraveling the role of the immune system is imperative to develop possible therapeutic interventions. Both human monocytes and macrophages express ACE2 and can be directly infected with SARS-CoV-2, increasing the transcription of pro-inflammatory genes associated with increased COVID-19 severity [1]. Further computational analyses identified several functional categories to be enriched in BAL from severe cases of infection, including inflammatory response, chemotaxis of myeloid cells, phagocytes, and granulocytes. Deepening our understanding of the specific cell subsets responsible for severe outcomes in patients and expanding our knowledge on how these subsets contribute to the overall immune response according to their genes signatures will bring us closer to identifying possible therapeutic interventions for the treatment of COVID-19, in particular of those cases associated with severe complications

Single-Cell Data Retrieval and Bioinformatics
Gene Set Enrichment and Modeling of Gene Interactions Networks
RNA-Seq Analysis of PBMCs from COVID-19 Patients
Statistical Analyses
Results
Representative single-cell analysis of BAL from a mildof
Canonical
Similarities in Transcriptome Data from BAL and PBMCs from COVID-19 Patients
Similarities in transcriptome
Discussion
Full Text
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